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根据20170925-华泰期货-CTA量化策略因子系列(二):动量因子研报进行复现
Volatility Pairs Trading Strategy Implementation for NIFTY-BANKNIFTY using Implied Volatility and Cointegration Analysis | Python
We use unsupervised clustering techniques to identify potential stock to use in pairs trading from the S&P500
Financial Analysis - Build a ChatGPT Pairs Trading Bot, by Packt Publishing
A list of online resources for quantitative modeling, trading, portfolio management
Quantitative trading project
Notes for the Book Quantitative Trading by Ernie Chan
Introduction into usage of methods of vectorbt for backtesting trading strategies
Analysis and backtest of a Pairs Trading strategy in python
quantitative pairs trading app based on Streamlit for connection to TWS from Interactive Brokers
Quantitative Trading Framework (Backtesting & Live Trading) for Quants
Implements statistical arbitrage trading using time series analysis models and a simple pair-wise trading strategy.
Implementation for "Statistical arbitrage in the US equities market" by Marco Avellaneda and Jeong-hyun Lee
medium-frequency, relative-value trading strategy based on Avallaneda and Lee (2008)
This repo contains files to download stock data, and run the algorithm to create Trading Signals using S-Score. This algorithm is from "Statistical Arbitrage in the US Equity Market" by Avellaneda ...
Alpaca Trading API integrated with backtrader
Alpaca’s official MCP Server lets you trade stocks, ETFs, crypto, and options, run data analysis, and build strategies in plain English directly from your favorite LLM tools and IDEs
"AI-Trader: Can AI Beat the Market?" Live Trading Bench: https://ai4trade.ai Tech Report Link: https://arxiv.org/abs/2512.10971
Enhancing Portfolio Performance with the Long-Short Beta Trading Strategy
這是一個基於Spring Boot架構的加密貨幣配對交易機器人,專為在幣安永續合約市場進行統計套利交易而設計。系統採用先進的統計方法自動分析相關資產的價格關係,識別價格偏離的套利機會,並執行交易以獲取潛在利潤。
自動化台股全方位監控系統:每日產出 9 張(週/月/年 ×ばつ 高/收/低)10% 分箱報酬分析圖表,並透過 Resend API 發送互動式電子郵件報表。 Automated Taiwan Stock Monitor: Generates 9 comprehensive charts (Week/Month/Year ×ばつ High/Close/Low) with 10% bin return ...